condor_gpu_discovery — HTCondor Manual
Output GPU-related ClassAd attributes
condor_gpu_discovery [<options> ]
condor_gpu_discovery outputs ClassAd attributes corresponding to a host's GPU capabilities. It can presently report CUDA and OpenCL devices; which type(s) of device(s) it reports is determined by which libraries, if any, it can find when it runs; this reflects what GPU jobs will find on that host when they run. (Note that some HTCondor configuration settings may cause the environment to differ between jobs and the HTCondor daemons in ways that change library discovery.)
If CUDA_VISIBLE_DEVICES or GPU_DEVICE_ORDINAL is set in the environment when condor_gpu_discovery is run, it will report only devices present in the those lists.
This tool is not available for MAC OS platforms.
With no command line options, the single ClassAd attribute DetectedGPUs is printed. If the value is 0, no GPUs were detected. If one or more GPUS were detected, the value is a string, presented as a comma and space separated list of the GPUs discovered, where each is given a name further used as the prefix string in other attribute names. Where there is more than one GPU of a particular type, the prefix string includes an integer value numbering the device; these integer values monotonically increase from 0 (unless otherwise specified in the environment; see above). For example, a discovery of two GPUs may output
Further command line options use "CUDA" either with or without one of the integer values 0 or 1 as the prefix string in attribute names.
Print usage information and exit.
In addition to the DetectedGPUs attribute, display some of the attributes of the GPUs. Each of these attributes will have a prefix string at the beginning of its name. The displayed CUDA attributes are Capability, DeviceName, DriverVersion, ECCEnabled, GlobalMemoryMb, and RuntimeVersion. The displayed Open CL attributes are DeviceName, ECCEnabled, OpenCLVersion, and GlobalMemoryMb.
Display more attributes of the GPUs. Each of these attribute names will have a prefix string at the beginning of its name. The additional CUDA attributes are ClockMhz, ComputeUnits, and CoresPerCU. The additional Open CL attributes are ClockMhz and ComputeUnits.
Display attributes of NVIDIA devices that change values as the GPU is working. Each of these attribute names will have a prefix string at the beginning of its name. These are FanSpeedPct, BoardTempC, DieTempC, EccErrorsSingleBit, and EccErrorsDoubleBit.
When displaying attribute values, assume that the machine has a heterogeneous set of GPUs, so always include the integer value in the prefix string.
- -device <N>
Display properties only for GPU device <N>, where <N> is the integer value defined for the prefix string. This option may be specified more than once; additional <N> are listed along with the first. This option adds to the devices(s) specified by the environment variables CUDA_VISIBLE_DEVICES and GPU_DEVICE_ORDINAL, if any.
- -tag string
Set the resource tag portion of the intended machine ClassAd attribute Detected<ResourceTag> to be string. If this option is not specified, the resource tag is "GPUs", resulting in attribute name DetectedGPUs.
- -prefix str
When naming attributes, use str as the prefix string. When this option is not specified, the prefix string is either CUDA or OCL.
For testing purposes, assume that N devices of type D were detected. No discovery software is invoked. If D is 0, it refers to GeForce GT 330, and a default value for N is 1. If D is 1, it refers to GeForce GTX 480, and a default value for N is 2.
Prefer detection via OpenCL rather than CUDA. Without this option, CUDA detection software is invoked first, and no further Open CL software is invoked if CUDA devices are detected.
Do only CUDA detection.
For Windows platforms only, use a CUDA driver rather than the CUDA run time.
Output in the syntax of HTCondor configuration, instead of ClassAd language. An additional attribute is produced NUM_DETECTED_GPUs which is set to the number of GPUs detected.
This option suppresses the DetectedGpus attribute so that the output is suitable for use with condor_startd cron. Combine this option with the -dynamic option to periodically refresh the dynamic Gpu information such as temperature. For example, to refresh GPU temperatures every 5 minutes
use FEATURE : StartdCronPeriodic(DYNGPUS, 5*60, $(LIBEXEC)/condor_gpu_discovery, -dynamic -cron)
For interactive use of the tool, output extra information to show detection while in progress.
Show diagnostic information, to aid in tool development.
condor_gpu_discovery will exit with a status value of 0 (zero) upon success, and it will exit with the value 1 (one) upon failure.
1990-2021, Center for High Throughput Computing, Computer Sciences Department, University of Wisconsin-Madison, Madison, WI, US. Licensed under the Apache License, Version 2.0.